Comments (6)
Cool! Thanks for your reply. I just got it working.
from affordance-net.
Hi, please see #19 and http://cgm.technion.ac.il/Computer-Graphics-Multimedia/Software/FGEval/
from affordance-net.
Hi Dr. Nguyen,
I just realized that previous works evaluated their approaches by first cropping images with ground truth mask for bounding boxes. I am wondering if you follow the same procedure (cropping the region of interest) or you pass the whole images for F score to get the results described in the paper? Thank you very much.
from affordance-net.
We pass the whole image and evaluate F score. Please see paper for more details.
from affordance-net.
I see. Thank you very much!
I've read the paper and we are wondering how many epochs you have trained on UMD dataset for getting the results? It seems the hyperparameters in the repo are for IIT. Would you mind to provide the hyperparameters for UMD if possible? It seems stepsize of 150k in solver.prototxt is large for UMD given the dataset size. Thank you in advance!
from affordance-net.
You can just train then stop when the lost doesn't decrease anymore :)
from affordance-net.
Related Issues (20)
- What is the difference between roi_alignment and roi_alignment2? HOT 2
- A question about .sm file HOT 6
- Regarding cudnn version and caffe installation HOT 5
- Sorry, Can you tell me how to create several .sm files in image with pascal voc datasets?
- A question about loss_mask layer
- I get some errors while doing python demo_img.py HOT 1
- src/caffe/layers/cudnn_relu_layer.cu(19): error: identifier "activ_desc_" is undefined HOT 2
- Add cudnn7 support
- How to create several .sm files in an image with pascal voc datasets?
- Camera parameters of IIT dataset HOT 1
- Check failed: registry.count(type) == 1 (0 vs. 1) Unknown layer type HOT 2
- How to change number of classes
- WARNING: filter_boxes() remove ALL proposal.
- One Object with multiple affordances
- Missing Affordance Masks
- Ros version Problem
- Color-coded affordance label HOT 2
- Caffe Installation
- AffordanceNet architecture implementation
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